A split-Cas9 architecture for inducible genome editing and transcription modulation

By Bernd Zetsche, Sara Volz, Feng Zhang. 2015

697 citations recorded by the source corpus.

1Department of Oncology-Pathology, Science for Life Laboratory, Karolinska Institute, Stockholm, Sweden. 2Bioinformatics Infrastructure for Life Sciences (BILS), Stockholm, Sweden. 3Minnesota Supercomputing Institute, University of Minnesota, Minneapolis, USA. 4Department of Biochemistry, La Trobe Institute for Molecular Science, La Trobe University, Melbourne, Australia. 5Life Sciences Computation Centre, Victorian Life Sciences Computation Initiative, Melbourne, Australia. 6Analytical Biochemistry, Department of Pharmacy, University of Groningen, Groningen, The Netherlands. 7Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, USA. 8School of Biotechnology, Science for Life Laboratory, Royal Institute of Technology KTH, Stockholm, Sweden. 9Plant Research International, Wageningen University and Research Center, Wageningen, The Netherlands. 10Bioinformatics Laboratory, Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, studies. Given the one constant across all the omics fields—that technologies and data analysis needs continually change—this flexibility toward new software and data types should prove beneficial. Galaxy’s transparency and shareability also facilitates reproducible and publicly available analyses of the ‘Big Data’ produced in omics studies. Coupled with emerging efforts to make workflow frameworks interoperable13,14, the sharing functions inherent to frameworks such as Galaxy could transform the way in which largescale molecular data are exchanged, wherein raw data along with the complete workflow used for its analysis would be deposited and made publically available. With this vision in mind, we hope that this article will stimulate a much-needed discussion on the best ways to meet the challenges of multi-omic data analysis and move us closer to realizing its potential for biological discovery.

Subfields: Genetics, Molecular Biology

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In Genetics

1. Haifeng Wang
2. Lei S. Qi
3. Marie La Russa

In Molecular Biology

1. Haifeng Wang
2. Marie La Russa
3. Min Wu
4. Mengyuan Huang
5. Hongyi Li
6. Xia Zhao
7. Yang Yang
8. Lei S. Qi

Citations in the corpus

• CRISPR/Cas9 in Genome Editing and Beyond. (2016, background): “(233) split Cas9 into N-terminal and C-terminal fragments and used a rapamycin-binding dimerization system to induce fragment assembly into active Cas9.”
• Applications of genome editing technology in the targeted therapy of human diseases: mechanisms, advances and prospects (2020, background): “Both the structure and composition of gRNA can affect the level of off‐target effects.(288,289) A related method that has been reported to reduce the off-target effects induced by Cas9 is to choose unique target sequences that lack homology to other regions of the genome.”
• Biology and Applications of CRISPR Systems: Harnessing Nature's Toolbox for Genome Engineering. (2016, neutral): “Recent work has focused on developing various chemical- and light-inducible Cas9 constructs to allow for greater spatiotemporal control and on employing Cas9 orthologs with different PAM sequences and smaller sizes, allowing for easier packaging in adeno-associated virus vectors (Davis et al., 2015;”